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Review
Published: 05-09-2023

The employment of the nutrigenomic tool in the prevention and reduction of obesity problems: a review

Federal University of Pará, Belém, Pará, Brazil
Gene Genome Obesity Nutrigenomics

Abstract

Introduction: The use of the nutrigenomics tool in the prevention and reduction of obesity problems. Objective: To discuss, through the literature, the interaction between genes, nutrient, and their association with obesity, to convey to the health professional a broader and more detailed and understandable view of the advantages of using nutrigenomics in the prevention or aggravation of this morbidity condition. Methods: Exploratory bibliographic research for its development, articles found in the scientific electronic databases Scielo, Medline, Bireme, and Latin American Literature in Health Sciences (LILACS) in the area of nutrigenomics indexed in the years 2012 to 2018 were selected. Results: Concerning obesity, several studies prove that the control of the need for food intake is affected by polymorphisms in genes encoding peripheral signaling peptides, such as insulin, leptin, and adiponectin. In addition, it is also affected by energy homeostasis that involves changes in PLIN and UCPs genes. Diets based on nutritional needs, nutritional status, and genotype are factors in the prevention and control of obesity and several chronic diseases. Conclusion: Nutrigenomics represents the latest in nutrition science. Health professionals need to know and scientifically debate this new science, showing the health benefits it grants and directing actions that enable the future insertion of this practice in the context of population programs based on public policies for the construction of new paradigms related to the treatment of obesity.

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References

  1. World Health Organization – WHO. Descriptive note n° 311: Obesity and overweight. 2015.
  2. Dorneles G, Peres A. Epigenetic modulation in human obesity. In: Elsner VR & Siqueira IR. (Org.). Epigenetics applied to health and disease: fundamental principles based on current evidence. Porto Alegre: Methodist University Ed, 2016.
  3. Brazilian Association for the Study of Obesity and Metabolic Syndrome – ABESO. Brazilian obesity guidelines. 4.ed. São Paulo, 2016. Available at: <http://www.abeso.org.br/>. Accessed on: 10 Feb. 2023.
  4. Oliveira AM. Association between obesity indicators, fto and mc4r gene polymorphisms and diabetes mellitus in patients with systemic arterial hypertension. Thesis presented to the Graduate Program in Medicine: Cardiology and Cardiovascular Sciences, Faculty of Medicine, Federal University of Rio Grande do Sul, 2012A.
  5. Oliveira LPM, Queiroz VAO, Silva MCM, Pitangueira JCD, Costa PRF, Demétrio F, Anjos MCG, Assis AMO. Body mass index obtained by self-reported measures for classifying the anthropometric status of adults: Validation study with residents of Salvador, state of Bahia, Brazil. Epidemiol. Serv. Health, 2012, v. 21, no. 2, Jun.
  6. Jesus IC, Alle LF, Percegona CG, Purim KSM, Leite N. Relationship between genetic polymorphisms, lipolysis, lipid metabolism and aerobic exercise. Thinking A Practice, Goiânia, 2016, v. 19, no. 2, p. 474-489, Jun.
  7. Afonso JMC. The role of Nutrigenomics and Nutrigenetics in the Metabolic Syndrome. Prevention, correction and personalized nutrition. Master's dissertation presented to the Faculty of Pharmacy of the University of Coimbra, 2013.
  8. Bezerra NS, Gama WM, Tarragô AM, Sanchez FF, Gonçalves RL, Leon EB. Leptin receptor gene polymorphism and obesity. Arch. Catherine Med., 2017, v. 46, n.3, p. 203214.
  9. Martins MC. Association between polymorphisms in genes related to obesity and changes in body weight and dietary intake in pregnant women. Thesis - Graduate Program in Nutrition - UFRJ/INJC, Rio de Janeiro, 2017.
  10. Hoçoya LS, Jardini MAN. Genetic polymorphism associated with periodontal disease in the Brazilian population: a literature review. Rev. Odontol UNESP, Araraquara, 2010, v. 39, no. 5, p. 305-310, ISSN 1807-2577.
  11. Reuter CP, Burgos MS, Bernhard JC, Tornquist EI, Borges TS, Renner SDP, Valim A. RM, Mello ED. Association between overweight and obesity in schoolchildren with the rs9939609(FTO) polymorphism and family history of obesity. J. Pediatr. (Rio J.), Porto Alegre, 2016, v. 92, no. 5, p. 493-498, Oct.
  12. Rodrigues A, Almeida H, Gouveia A. Obesity: The Role of Melanocortins in the Regulation of Energy Homeostasis. Portuguese journal of endocrinology, diabetes and metabolism. Porto, 2011, p. 76-86.
  13. Damiani D, Damiani D, Perlamagna L, Rocha R. Single-gene obesity. 2017. Available at: <http://durval.site.med.br/index.asp?PageName=obesidade>. Accessed on: 14 March, 2023.
  14. File ARC. Nutrigenomics. Master's dissertation in Pharmaceutical Sciences. Fernando Pessoa University. Oporto, 2014.
  15. Schmidt L, Soder TF, Benetti F. Nutrigenomics as a preventive tool for chronic noncommunicable diseases. Arch. Science UNIPAR Health, Umuarama, 2019, v. 23, no. 2, p. 127-138, May/Aug.
  16. Schuch JB, Vougt F, Maluf SW, Andrade FM. Nutrigenetics: the interaction between eating habits and the individual genetic profile. R. bras. Bioci., Porto Alegre, 2010, v. 8, no. 1, p. 73-84, Jan./Mar.
  17. Mosca PRF, Silveira PP, Werlang ICR, Goldani MZ. Obesity and genetics: Obesity and genetics. Hcpa Magazine, 2012, v. 32, no. 3, 2012. Available at: <https://seer.ufrgs.br/hcpa>. Accessed on: 14 March, 2023.
  18. Maclellan WR, Wang Y, Lusis A. Systems-based approaches to cardiovascular disease. Nat Rev Cardiol, v. 9, p. 172–184, 2012. Available at: <https://doi.org/10.1038/nrcardio.2011.208>. Accessed on: 14 March, 2023.
  19. Matos WL, Klinger EI, Rodrigues ST, Reuter CP, Todenti PF, Valim ARM. Association of polymorphisms in the FTO, TMEM18 and ADIPOQ genes, and serum adiponectin concentration with overweight and biochemical profile in schoolchildren from Santa Cruz do Sul/RS - Brazil. Young Researchers Magazine, Santa Cruz do Sul, 2018, v. 8, no. 2, p. 31-41, ISSN 2237-048X.
  20. Paz CP, Carvalho MJSB, Leal RSLR, Parente DM. Obesity: considerations on genetic factors. Rev. Interd. Science Health, 2017, v. 4, n.2, p. 106-112.
  21. Queiroz EM. Obesity phenotype, genetic ancestry and candidate gene polymorphisms in schoolchildren from a mixed-race population. 131p. Doctoral thesis. Federal University of Ouro Preto, Ouro Preto, 2012.
  22. Moretzsohn MA, Rocha HF, Caetano RR. Pediatrics: Nutrology. Rio de Janeiro: Editora Guanabara Koogan. 2016, v. 15.
  23. Scherer AD, More CLOO, Coradini AO. Obesity, family and transgenerationality: an integrative literature review. New perspective. sist., São Paulo, 2017, v. 26, no. 58, p. 17-37, Aug.
  24. Brazilian Society of Pediatrics - SBP. Obesity in childhood and adolescence: Guidance Manual. Department of Nutrology, p. 116, 2008. Available at <http://www.sbp.com.br>. Accessed on: 20 Feb. 2023.
  25. Souza MFM, França EB, Cavalcante A. Burden of disease and analysis of the health situation: results of the Global Burden os Disease (GBD) Brazil network. Brazilian journal of epidemiology, 2017, v. 20, p. 1-3.
  26. Valente MAS, Barbosa MCA, Rodrigues CV, Viera PAF, Barbosa MO. Nutrigenomics/nutrigenetics in the elucidation of chronic diseases. HU Magazine, Juiz de Fora, 2014, v. 40, no. 3 and 4, p. 239-248.
  27. Van De Sande-Lee S, Velloso LA. Hypothalamic dysfunction in obesity. Arq Bras Endocrinol Metab, São Paulo, 2012, v. 56, no. 6, p. 341-350.

How to Cite

Bitar, D. F. (2023). The employment of the nutrigenomic tool in the prevention and reduction of obesity problems: a review. International Journal of Nutrology, 16(2). https://doi.org/10.54448/ijn23215